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Sales Forecasting for Retail Stores by 220010044 is a document available to read on EtoBox.

The document discusses forecasting sales for a nationwide retailer with 45 stores, emphasizing the importance of accurate predictions for profit maximization. It analyzes various datasets, including sales data and promotional activities, to model weekly sales using different forecasting techniques, ultimately identifying LASSO as the best-performing model. The findings highlight the challenges of data quality and the potential for further improvements in sales forecasting through advanced modeling technique

Author

220010044

Language

EN